Multifunctional applications of topological valley-locked elastic waves

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 259, P. 108589 - 108589

Published: July 11, 2023

Language: Английский

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Development and progress in acoustic phase-gradient metamaterials for wavefront modulation

Materials Today, Journal Year: 2023, Volume and Issue: 66, P. 321 - 338

Published: April 28, 2023

Language: Английский

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Flexural wave manipulation in perforated metamaterial plates with acoustic black holes interconnected by piezoelectric studs

Composite Structures, Journal Year: 2023, Volume and Issue: 321, P. 117224 - 117224

Published: June 11, 2023

Language: Английский

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Breaking the limits of acoustic science: A review of acoustic metamaterials

Materials Science and Engineering B, Journal Year: 2024, Volume and Issue: 305, P. 117384 - 117384

Published: April 27, 2024

Language: Английский

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Functional analytic methods for discrete approximations of subwavelength resonator systems

Pure and Applied Analysis, Journal Year: 2024, Volume and Issue: 6(3), P. 873 - 939

Published: Oct. 1, 2024

We survey functional analytic methods for studying subwavelength resonator systems. In particular, rigorous discrete approximations of Helmholtz scattering problems are derived in an asymptotic regime. This is achieved by re-framing the equation as a non-linear eigenvalue problem terms integral operators. limit, resonant states described eigenstates generalized capacitance matrix, which appears perturbing elements kernel limiting operator. Using this formulation, we able to describe resonance and related phenomena. demonstrate large-scale effective parameters with exotic values. also show that these systems can exhibit localized guided waves on very small length scales. concept topologically protected edge modes, such localization be made robust against structural imperfections.

Language: Английский

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Programmable Logic Functions‐Integrated Acoustic In‐Sensor Computing

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Abstract In‐sensor computing supports edge by reducing data transmission, but logic and arithmetic operations are still underdeveloped in acoustic sensors. Mechanical with metamaterials integrates these functions directly into sensors responding to external stimuli, offering a promising solution. However, current mechanical switching depends on structural transformations, limiting function density. Therefore, reprogrammable method is proposed using geometrically imbalanced graded phononic crystal (GiGPnC). By designing unit cells, the structure produces two types of asymmetric scattering effects antisymmetric Lamb waves, creating constructive destructive interference at point defect. These four frequency responses correspond all input‐output mappings two‐input one‐output system, enabling computing. Then, realizations seven basic gates combinational experimentally demonstrated, including 1‐bit half‐subtractor 4‐bit even parity generator, single GiGPnC. This frequency‐response‐based can be extended more complex functions. design paradigm expected for in‐sensor centered promote development Internet Things (IoT).

Language: Английский

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Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Materials science has traditionally relied on a combination of experimental techniques and theoretical modeling to discover develop new materials with desired properties. However, these processes can be time‐consuming, resource‐intensive, often limited by the complexity material systems. The advent artificial intelligence (AI), particularly machine learning, revolutionized offering powerful tools accelerate discovery, design, characterization novel materials. AI not only enhances predictive properties but also streamlines data analysis in like X‐Ray diffraction, Raman spectroscopy, scanning probe microscopy, electron microscopy. By leveraging large datasets, algorithms identify patterns, reduce noise, predict behavior unprecedented accuracy. In this review, recent advancements applications across various domains science, including synchrotron studies, microscopies, metamaterials, atomistic modeling, molecular drug are highlighted. It is discussed how AI‐driven methods reshaping field, making discovery more efficient, paving way for breakthroughs design real‐time analysis.

Language: Английский

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Electrically controllable behaviors in defective phononic crystals with inductive-resistive circuits

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 278, P. 109485 - 109485

Published: June 15, 2024

Language: Английский

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An underwater planar lens for broadband acoustic concentrator

Applied Physics Letters, Journal Year: 2022, Volume and Issue: 120(12)

Published: March 21, 2022

In this Letter, a single-cavity underwater acoustic metasurface unit with sub-wavelength thickness was designed for simultaneously realizing the high refractive index in water environment. By arraying several units gradient distribution radial direction, gradient-index three-dimensional planar lens constructed. Moreover, fewer to reduce size by nearly half original one while maintaining excellent broadband focusing capability unchanged. addition, adding back cavity on side of lens, lens-based concentrator proposed which could greatly enhance sound energy gain wide frequency range. Finally, samples and were fabricated measured an anechoic tank, verified that has enhancement performance. The work have potential application values including but not limited target detection harvesting.

Language: Английский

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Pneumatic soft phononic crystals with tunable band gap

International Journal of Mechanical Sciences, Journal Year: 2022, Volume and Issue: 240, P. 107906 - 107906

Published: Nov. 3, 2022

Language: Английский

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